Walmart Store Sales Forecasting

Example of using regression model to predict sales based on Walmart historical data

We will get data from [kaggle.com][1] and will predict sales for 45 Walmart stores located in different regions.
Each store contains many departments, and we will predict sales for each department in each store.
To add to the challenge, selected holiday markdown events are included in the dataset.
These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.
**Algorithms**
In this experiment we will use Decision Forest Regression Algorithm for better prediction.
Also you can find video on [youtube][2] for this experiment. It's in Russian language (will be translated in English soon).
Please fill free to ask questions dmitry.katson@gmail.com
[1]: https://www.kaggle.com/c/walmart-recruiting-store-sales-forecasting
[2]: https://www.youtube.com/watch?v=dWRZgdf6JEg&feature=youtu.be